Text classification (TC) is the task of automatically assigning documents to a fixed number of
categories. TC is an important component in many text applications. Many of these …

Many academic journals and conferences require that each article include a list of
keyphrases. These keyphrases should provide general information about the contents and …

In the technological age, the phenomenon of complaint letters published on the Internet is
increasing. Therefore, it is important to automatically classify complaint letters according to …

Traditional compression techniques do not look deeply into the morphology of languages.
This can be less critical in languages like English where most of the sequences are illegal …

In this paper, we describe our submissions for PAN at CLEF 2021 contest. We tackled the
subtask “Profiling Hate Speech Spreaders on Twitter”. We developed different models for …

In this paper, we describe our submissions to SemEval-2020 contest. We tackled subtask 12-
“Multilingual Offensive Language Identification in Social Media”. We developed different …

In this study, we aim to detect in social media texts written in Hebrew girls who are
suspected of being anorexic. We constructed a dataset containing 100 blog posts written by …

Keyphrases extracted from documents may save precious time for tasks such as filtering,
summarization, and categorization. A few such systems are available for documents written …

In this paper, we describe our submissions for the HASOC 2021 contest. We tackled subtask
1A that addresses the problem of hate speech and offensive language identification in three …

This chapter addresses automatic summarization of Semitic languages. After a presentation
of the theoretical background and current challenges of automatic summarization, we …